BoldPath is a solo practice by design, not by limitation. Every project is led directly by Patrick Glynn. There is no handoff to junior staff, no layers of account management, and no separation between the person who understands your situation and the person doing the work.
Before scoping a project, recommending a service, or quoting a fee, BoldPath begins with a conversation. The purpose is to understand what is actually happening in your organization: what prompted the call, what has already been tried, what constraints matter, and what success would look like. This initial conversation costs nothing and commits you to nothing. It exists because the right approach cannot be determined without understanding the real situation.
BoldPath does not sell pre-packaged solutions. After the initial conversation, Patrick develops a proposed scope that reflects the organization's specific circumstances, timeline, budget realities, and governance requirements. Scope documents are written in plain language, with clear deliverables and honest assessments of what the budget can accomplish. If a project needs to be phased across fiscal years, that is built into the plan from the start.
Public-sector decisions face a level of scrutiny that private-sector consulting does not. Every recommendation BoldPath makes is designed to withstand questions from governing bodies, union leadership, employees, journalists, and the public. This means clear documentation, transparent methodology, and honest acknowledgment of tradeoffs. If the data does not support a popular recommendation, that finding is reported accurately rather than adjusted to match expectations.
Most BoldPath clients return. Not because of contractual obligation, but because the first engagement built trust and delivered results. After a project concludes, Patrick remains available for follow-up questions, implementation guidance, and the informal advice that comes from having a trusted advisor who already understands your organization.
Clarity about boundaries is essential to maintaining defensibility, public trust, and appropriate roles within local government.
BoldPath integrates generative AI into its consulting practice. This is not a novelty or an experiment. It is a deliberate choice about how to work more effectively, and it warrants a direct explanation.
AI assists with the analytical groundwork of consulting: organizing large volumes of information, structuring early drafts, pressure-testing assumptions, and identifying patterns across complex datasets. It handles the kind of preparatory work that, in a larger firm, would fall to junior analysts or associates. The difference is that every output still runs through the same filter it always would: three decades of professional judgment, direct knowledge of the client's situation, and an understanding of public-sector governance that no AI model possesses.
What AI does not do at BoldPath is make decisions, form recommendations, or produce finished work. It does not interpret policy. It does not evaluate political dynamics. It does not weigh the competing interests that define most public-sector workforce decisions. Those require human judgment, institutional knowledge, and accountability. That is my job, and I do not delegate it.
Confidentiality and data handling. No identifiable employee data, protected information, or confidential client materials are entered into AI platforms. The same caution I would apply to sharing information with any outside party applies here. When client-specific context is needed to produce useful analysis, only de-identified or publicly available information is used.
What this means for the work you receive. All deliverables provided to clients reflect original analysis and professional judgment. AI may contribute to how information is organized or how early drafts take shape, but every finding, recommendation, and conclusion is the product of direct professional review. If it has my name on it, I stand behind it.
I am transparent about this because the consulting profession owes its clients honesty about how work gets done. AI is a tool. Used well, it allows a solo practice to handle complexity with the analytical depth of a larger team while maintaining the direct engagement and accountability that larger teams often sacrifice. Used poorly, it produces shallow work dressed up in confident language. The difference is the judgment applied to it, and that is where 30 years of experience matters most.
If your team is trying to figure out where generative AI fits, what the real risks are, or how to move forward without overcommitting, that is a conversation worth having. BoldPath provides practical, grounded training designed for the realities of public-sector work.
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